Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010081
The MH-36 locality cells most similar to this Solapur cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.114
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009257
distance 0.114
#2 · Dharashivcell 4880001871
distance 0.124 · cross-district
#3 · Dharashivcell 4880002268
distance 0.131 · cross-district
#4 · Solapurcell 4960009250
distance 0.136
#5 · Solapurcell 4960008244
distance 0.139
#6 · Solapurcell 4960009727
distance 0.14
#7 · Solapurcell 4960010492
distance 0.143
#8 · Dharashivcell 4880001701
distance 0.143 · cross-district
#9 · Solapurcell 4960009746
distance 0.144
#10 · Solapurcell 4960009259
distance 0.147
#11 · Solapurcell 4960010407
distance 0.16
#12 · Solapurcell 4960009634
distance 0.163
#13 · Solapurcell 4960010160
distance 0.163
#14 · Beedcell 4700005990
distance 0.164 · cross-district
#15 · Solapurcell 4960010580
distance 0.168
#16 · Solapurcell 4960010576
distance 0.169
#17 · Solapurcell 4960010009
distance 0.171
#18 · Beedcell 4700006146
distance 0.173 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":496,"cluster_id":4960010081}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.